Solution Architect

Job Description

Title: Solution Architect/Data Architect

Location: Warwick, UK

Job Description:

Position Overview
We are seeking an experienced and highly skilled Data Architect to join our team. The ideal candidate will have a robust understanding of SQL, KQL, various data platforms, Data Fabric, and Big Data technologies. The Data Architect will play a crucial role in designing, developing, and optimizing our data infrastructure to ensure efficient and effective data management and utilization.

Mandatory Skills: Internet of Things - IoT.
Experience: 8-10 Years.

Key Responsibilities:

 

• Design and Development: Architect, design, and develop scalable and robust data models and structures to support various business needs.

• Data Integration: Integrate disparate data sources into a unified system ensuring data consistency and quality.

• Data Management: Implement data management strategies, including data governance, data quality, and data lineage.

• Optimization and Performance Tuning: Optimize database performance and data processing workflows to ensure high efficiency.

• Data products: Create Data contracts, process to create/update Data products

• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data products.

• Documentation: Create and maintain comprehensive documentation for data architecture, data flows, and infrastructure.

• Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations and policies.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Power BI, Tableau).
• Familiarity with machine learning and AI concepts.
• Certification in relevant technologies or methodologies.
• Knowledge of IoT (Internet of Things).

Required Skills and Qualifications:

Educational Background: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.

Experience: Proven experience as a Data Architect or in a similar role.

Technical Proficiency:
Strong knowledge of SQL and KQL.

Experience with various data platforms (e.g., relational databases, NoSQL databases, cloud-based data services).

Familiarity with Data Fabric concepts and implementations.

Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Kafka).

Experience working with telemetry data and semi-structured data.

Analytical Skills: Good problem-solving skills with the ability to analyze complex data requirements and design efficient solutions.

Communication Skills: Strong verbal and written communication skills with the ability to convey technical information effectively.

Attention to Detail: High level of accuracy and attention to detail in all aspects of work.